Marc Lanctot

According to our database1, Marc Lanctot authored at least 89 papers between 2007 and 2024.

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Bibliography

2024
Soft Condorcet Optimization for Ranking of General Agents.
CoRR, 2024

Learning in Games with progressive hiding.
CoRR, 2024

Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization.
CoRR, 2024

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers.
CoRR, 2024

Neural Population Learning beyond Symmetric Zero-Sum Games.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Approximating the Core via Iterative Coalition Sampling.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Learning Not to Regret.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning.
Trans. Mach. Learn. Res., 2023

Evaluating Agents using Social Choice Theory.
CoRR, 2023

Learning not to Regret.
CoRR, 2023

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning.
CoRR, 2023

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Game Theoretic Rating in N-player general-sum games with Equilibria.
CoRR, 2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.
CoRR, 2022

Anytime PSRO for Two-Player Zero-Sum Games.
CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun., 2022

Approximate Exploitability: Learning a Best Response.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games.
Proceedings of the International Conference on Machine Learning, 2022

Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Player of Games.
CoRR, 2021

Dynamic population-based meta-learning for multi-agent communication with natural language.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers.
Proceedings of the 38th International Conference on Machine Learning, 2021

Sound Algorithms in Imperfect Information Games.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Solving Common-Payoff Games with Approximate Policy Iteration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Hindsight and Sequential Rationality of Correlated Play.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Advantage Regret-Matching Actor-Critic.
CoRR, 2020

Sound Search in Imperfect Information Games.
CoRR, 2020

Approximate exploitability: Learning a best response in large games.
CoRR, 2020

The Hanabi challenge: A new frontier for AI research.
Artif. Intell., 2020

Negotiating team formation using deep reinforcement learning.
Artif. Intell., 2020

Bounds and dynamics for empirical game theoretic analysis.
Auton. Agents Multi Agent Syst., 2020

Learning to Play No-Press Diplomacy with Best Response Policy Iteration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast computation of Nash Equilibria in Imperfect Information Games.
Proceedings of the 37th International Conference on Machine Learning, 2020

A Generalized Training Approach for Multiagent Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
OpenSpiel: A Framework for Reinforcement Learning in Games.
CoRR, 2019

Neural Replicator Dynamics.
CoRR, 2019

α-Rank: Multi-Agent Evaluation by Evolution.
CoRR, 2019

Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research.
CoRR, 2019

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag., 2019

Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Emergent Communication through Negotiation.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Generalised Method for Empirical Game Theoretic Analysis.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deep Q-learning From Demonstrations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
CoRR, 2017

Symmetric Decomposition of Asymmetric Games.
CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.
CoRR, 2017

Learning from Demonstrations for Real World Reinforcement Learning.
CoRR, 2017

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-agent Reinforcement Learning in Sequential Social Dilemmas.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Mastering the game of Go with deep neural networks and tree search.
Nat., 2016

Algorithms for computing strategies in two-player simultaneous move games.
Artif. Intell., 2016

Memory-Efficient Backpropagation Through Time.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dueling Network Architectures for Deep Reinforcement Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Convolution by Evolution: Differentiable Pattern Producing Networks.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Dueling Network Architectures for Deep Reinforcement Learning.
CoRR, 2015

Fictitious Self-Play in Extensive-Form Games.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Real-Time Monte Carlo Tree Search in Ms Pac-Man.
IEEE Trans. Comput. Intell. AI Games, 2014

Quality-based Rewards for Monte-Carlo Tree Search Simulations.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search.
Proceedings of the Computer Games - Third Workshop on Computer Games, 2014

Monte Carlo Tree Search variants for simultaneous move games.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Further developments of extensive-form replicator dynamics using the sequence-form representation.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
SIA Wins Surakarta Tournament.
J. Int. Comput. Games Assoc., 2013

LOA Wins Lines of Action Tournament.
J. Int. Comput. Games Assoc., 2013

Convergence of Monte Carlo Tree Search in Simultaneous Move Games.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Monte Carlo *-Minimax Search.
Proceedings of the IJCAI 2013, 2013

Monte Carlo Tree Search in Simultaneous Move Games with Applications to Goofspiel.
Proceedings of the Computer Games - Workshop on Computer Games, 2013

Model AI Assignments 2013.
Proceedings of the Fourth Symposium on Education Advances in Artificial Intelligence, 2013

Improving Best-Reply Search.
Proceedings of the Computers and Games - 8th International Conference, 2013

2012
No-Regret Learning in Extensive-Form Games with Imperfect Recall
CoRR, 2012

Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

No-Regret Learning in Extensive-Form Games with Imperfect Recall.
Proceedings of the 29th International Conference on Machine Learning, 2012

Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Generalized Sampling and Variance in Counterfactual Regret Minimization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling.
J. Artif. Intell. Res., 2011

Variance Reduction in Monte-Carlo Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
MCRNR: Fast Computing of Restricted Nash Responses by Means of Sampling.
Proceedings of the Interactive Decision Theory and Game Theory, 2010

2009
Monte Carlo Sampling for Regret Minimization in Extensive Games.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007
Adversarial Planning Through Strategy Simulation.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007


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